Title :
Nonlinear channel equalization using clustering techniques
Author :
Theodoridis, S. ; See, Chong Meng Samson ; Cowan, C.F.N.
Author_Institution :
Dept. of Comput. Eng., Patras Univ., Greece
Abstract :
A new maximum likelihood equalizer is proposed. The equalization task is treated as a nearest neighbor classifier, using appropriately defined measure distances. The clustering procedure is reviewed. The states of the Viterbi algorithm consist of the centers around which the observation points are clustered. Subclustering techniques to reduce complexity are considered and their effect on the performance is evaluated
Keywords :
equalisers; telecommunication channels; Viterbi algorithm; clustering techniques; distance measures; maximum likelihood equalizer; nearest neighbor classifier; nonlinear channel equalization; observation points; Binary sequences; Bit error rate; Degradation; Equalizers; Euclidean distance; Filtering; Interference elimination; Intersymbol interference; Phase noise; Viterbi algorithm;
Conference_Titel :
Communications, 1992. ICC '92, Conference record, SUPERCOMM/ICC '92, Discovering a New World of Communications., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0599-X
DOI :
10.1109/ICC.1992.268035
